# WithNettle [Health: Active]

**Category:** 📋 Product Management  
**Repository:** https://withnettle.com/  
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**Directory Page:** https://allmcps.com/mcp/withnettle

## Description
Project management shared by people and AI agents, with persistent project state through MCP.

## Claude Desktop Quick Installation
No confirmed install details yet, so no config is published. Follow the setup steps in the repository above.

## Documentation

## What WithNettle MCP server does

WithNettle MCP server provides a shared project-management context for people and AI agents. Its stated purpose is to keep project state persistent while allowing both human contributors and AI agents to participate in the same project work. This makes it relevant to workflows where an agent needs project information to remain available across multiple interactions rather than being reconstructed from a single conversation.

The available material identifies WithNettle as a project-management service exposed through MCP. It does not list individual operations, resource types, project fields, permissions, or supported collaboration workflows. As a result, the exact scope of project creation, task management, status updates, comments, or other actions cannot be confirmed from the supplied information.

## How it works

WithNettle MCP server uses the Model Context Protocol as the connection between an AI agent and the WithNettle project-management system. MCP provides the integration boundary through which an agent can work with persistent project state. People and agents can therefore share project context instead of keeping that context only inside one model session.

The source material does not specify whether the server uses standard input/output, streamable HTTP, or another MCP transport. It also does not describe how state is stored, how updates are synchronized, or whether multiple agents can act concurrently. Those implementation details should be verified before deployment in a workflow with strict availability, consistency, or audit requirements.

## Tools and capabilities

The confirmed capability is shared project management for people and AI agents, with persistent project state available through MCP. In practical terms, the service is intended for agent workflows that need an ongoing project context and for teams that want human and AI participants to work against that shared context.

No named MCP tools are documented in the supplied material. Tool names, input schemas, output formats, available resources, and error behavior are therefore not specified. Developers should consult the service documentation before writing an agent integration that depends on particular project or state operations.

## Setup and configuration

The supplied material does not include installation instructions, an MCP configuration example, authentication guidance, required environment variables, or runtime prerequisites. No client-specific setup is documented. The WithNettle MCP server should be configured using instructions from the service provider once those details are available.

## Limitations and notes

The description establishes the product focus but does not provide a complete technical reference. It confirms MCP-based access to shared, persistent project state, but does not establish supported clients, transport modes, authentication methods, licensing, data-retention behavior, or access-control features. Confirm those points before selecting WithNettle for production use or sensitive project data.

WithNettle MCP server is best evaluated for the shared project-context requirement described by the provider. It should not be assumed to provide a particular task system, issue tracker, source-control integration, or collaboration feature unless separately documented.

_Full upstream README: https://allmcps.com/mcp/withnettle/readme_